Seasonal variations in dimethylsulfoniopropionate and dimethylsulfide concentrations in relation to the plankton community in the St. Lawrence Estuary

Weekly variations in total dimethylsulfoniopropionate (DMSPt) and dimethylsulfide (DMS) were investigated in relation to the phytoplankton assemblage from spring to fall 1994 at a coastal fixed station in the St. Lawrence Estuary. DMSPt and DMS concentrations showed a strong seasonality and were tightly coupled in time. Maximum concentrations of DMSPt and DMS were observed in July and August, during a period of warm water and low nutrient concentrations. Seasonal maxima of 365.4 nmol l⁻¹ for DMSPt and 14.2 nmol l⁻¹ for DMS in early August coincided with the presence of many phytoplankton species, such as Alexandrium tamarense, Dinophysis acuminata, Gymnodinium sp., Heterocapsa rotundata, Protoperidinium ovatum, Scrippsiella trochoidea, Chrysochromulina sp. (6 μm), Cryptomonas sp. (6 μm), a group of microflagellates smaller than 5 μm (mf < 5), many tintinnids, and Mesodinium rubrum. The abundance of mf < 5 followed the general trend of DMS concentrations. The temporal occurrence of high P. ovatum abundance and DMSPt concentrations suggests that this heterotrophic dinoflagellate can either synthesize DMSP or acquire it from DMSP-rich prey. The calculated sea-to-air DMS flux reached a maximum of 8.36 μmol ⁻² d⁻¹ on August 1. The estimated annual emission from the St. Lawrence Estuary is 77.2 tons of biogenic sulfur to the atmosphere.     

Temporal and spatial variations of dimethylsulfide (DMS) and dimethylsulfoniopropionate (DMSP) in the East China Sea and the Yellow Sea

Temporal and spatial distributions of dimethylsulfide (DMS) and its precursor dimethylsulfoniopropionate (DMSP) were determined in the East China Sea and the Yellow Sea during June-July, 2006 and January-February, 2007. The concentrations of DMS and total DMSP in surface water in the study area were 5.64 (1.79-12.24) and 28.25 (13.98-44.93) nmol L⁻¹ in summer, and were 1.79 (1.02-3.51) and 11.01 (6.90-17.98) nmol L⁻¹ in winter, respectively. The distributions of DMS and DMSP in the study area were obviously influenced by the Yangtze River effluent and the Kuroshio water. Even under highly variable hydrographic conditions, a significant relationship was observed between DMS and chlorophyll a concentrations in summer as well as in winter, suggesting that phytoplankton biomass might play an important role in controlling DMS distribution in the study area. The summer ratios of DMS/chlorophyll a and DMSP/chlorophyll a were approximately twofold higher than winter values, corresponding with the temporal variation in phytoplankton community structure between summer and winter. The sea-to-air fluxes of DMS were estimated to be 5.32 and 11.92 μmol m⁻² d⁻¹ using the equations of Liss and Merlivat (1986) and Wanninkhof (1992), respectively.     

基于卫星遥感和POI数据的人口空间化研究——以广州市为例

以广州市为例,基于NPP/VIIRS夜间灯光、土地利用、POI（Points of Interest）等自然地理和社会经济因素,构建了人口空间化指标体系,采用主成分赋权法确定人口分布权重,利用GIS技术对人口统计数据进行了空间化处理。结果显示：综合考虑了自然地理和社会经济因素的人口空间化结果与真实的人口空间格局相吻合,空间分辨率为30 m,且相对误差绝对值＜25%的乡镇有62个,所占比例为36.47%;而不加POI数据得到的人口空间化结果,相对绝对值＜25%的乡镇有33个,所占比例约为20%,精度明显降低。结果表明：1）综合考虑NPP/VIIRS夜间灯光、土地利用、POI等自然地理和社会经济因素,有助于实现精度较高的人口空间化结果;2）将能够反映微观细节信息的POI数据引入人口空间化研究,扩展了人口空间化的数据源,并且可以提高人口空间化结果的精度。     

基于DMSP/OLS夜光遥感的山东半岛城市经济参量时空模拟分析

夜间灯光亮度与夜间人类活动程度具有密切的关系,夜间灯光遥感数据能够在一定程度上反映地区社会经济发展现状。文中基于2000-2012年21期DMSP/OLS夜间灯光数据对山东半岛蓝色经济区社会经济参量开展研究分析。首先,利用夜光总量统计方法和标准差椭圆法分别在时间和空间上对研究区夜间灯光亮度进行分析;其次,分别构建夜间灯光与GDP等4种社会经济参量的线性回归模型,进行相关性的分析;最后,采用GDP等2种社会经济参量对研究区进行时空模拟分析。结果表明:夜光数据与地区的社会经济参量具有明显的线性相关性,能够在时间和空间上客观地反映地区城市经济的发展现状和空间分布特征。     

基于夜间灯光数据的环渤海地区城市化过程

利用1992年、1996年和1998年的三期DMSP/OLS夜间灯光数据,提取了区域尺度的环渤海地区20世纪90年代的城市群空间信息,建立了城市群地区面状、线状和点状城市化空间模式,分析了环渤海城市群地区20世纪90年代的城市化过程。基本结论如下:①20世纪90年代环渤海城市群地区城市斑块数量增长较快,城市化过程明显,但小斑块所占比重较大,城市斑块破碎度增加。同时,区域内城市重心基本维持在经度117.93o和纬度38.49o附近,整体上表现出向西北方向移动的趋势。②20世纪90年代环渤海城市群地区城市化过程基本上可以从空间上概括为在中心城市和大城市周围的面状城市化过程、沿交通干线周围的线状城市化过程和广大区域内以新兴小城市或小城镇出现为特征的点状城市化过程三种基本过程。其中,面状城市化过程一直居于优势地位,但面状城市化过程的基本有效范围主要局限在面状城市斑块周围3￣4km范围。线状城市化过程和点状城市过程所占的比例相对较小,但表现出明显的增强趋势,在区域内的影响范围正逐渐扩大。     

DMSP/OLS稳定夜间灯光影像在中国的分类校正方法

长时间序列DMSP/OLS夜间稳定灯光影像数据集存在饱和像元大量积聚在城市中心区域及影像之间缺少可比性的问题,导致数据集在进行空间分析及时间对比研究时会受到限制。为解决上述2个问题,本文在现有研究的基础上提出了一种基于不变目标区域的中国稳定灯光影像分类校正方法。该方法对数据集中每一期中国区域稳定灯光影像进行了饱和及非饱和像元的分类。对饱和像元,选择北京等5个城市作为不变目标区域,选择不存在饱和像元的辐射校准的灯光影像作为参考,基于不变目标区域的非饱和像元之间的相关关系也同样适用于饱和像元的假设,对饱和像元进行了校正;同时,基于多期辐射校准的灯光影像之间存在的相互校准关系,对饱和校正后的饱和像元进行了相互校准。对于非饱和像元,选择了长沙等13个城市作为不变目标区域;根据稳定灯光影像中非饱和像元DN值总和随时间变化的总体趋势,确定了13期稳定灯光影像作为参考,其他多期影像基于不变目标区域中非饱和像元之间的相关关系进行了相互校准。为验证校正结果的准确性,多种相互校准和饱和校正方法被引入进行比较。本文提出的分类校正方法与另外2种相互校准方法相比对F10、F12和F14卫星影像校准效果更好,另外2种方法对F15和F16卫星影像的校准结果更好,3种方法总体上都实现了对数据集影像的相互校准且使校正后的影像具有了可比性。与经过植被指数校准后的城市夜间灯光指数（The Vegetation Adjusted NTL Urban Index,VANUI）相比,分类校正方法解决了饱和像元聚集于城市中心区域的问题,减弱了像元饱和程度,校正结果更接近辐射校准的灯光影像。此外,在中国城市水平上,分类校正的稳定灯光影像与GDP和电力消耗值的相关关系与其他2种相互校准方法相比也是相对较好的,能更客观合理地反映区域经济发展的差异。     

黄河流域能源消费碳排放时空格局演变及影响因素——基于DMSP/OLS与NPP/VIIRS夜间灯光数据

科学估算并动态监测长时间序列区域能源消费碳排放发展态势,是制定、实施及评估地区碳减排策略的科学依据和基础保障。基于构建的长时间序列可相互比较的DMSP/OLS与NPP/VIIRS两种夜间灯光数据集,本文模拟了2000—2018年黄河流域能源消费碳排放的时空变化特征,并从流域地理分异的角度对其影响因素进行解析。结果表明：① 2000—2018年黄河流域能源消费碳排放呈现总量不断上升但增长速率下降的态势,整体表现出收敛趋势,但还未达到碳峰值;流域内部碳排放总量呈中游>下游>上游的地理分异特征。② 以黄河干流及主要支流为串联的核心城市形成了若干规模不一的高密度碳排放中心。③ 黄河流域碳排放呈显著的正的全局空间自相关,并形成了以晋陕蒙资源型城市为依托的中上游碳排放高-高集聚,以及上游甘青宁地区为主的碳排放低-低集聚。④ 经济发展水平对碳排放空间分异的影响力始终最强,其次为城镇化水平与人口规模,“GDP+”能源结构、能源强度与产业结构所主导的交互作用是导致碳排放持续增长的主要推动力。从构建流域生命共同体的视角出发,结合黄河流域自然环境特点与经济社会特征,并统筹上下游、左右岸、干支流之间的关系,分区施策与分时施策并行,对实现以碳减排为目标的黄河流域生态保护与可持续发展意义重大。     

塔玛亚历山大藻生成二甲基硫和二甲基硫丙酸的实验研究

主要研究在封闭培养条件下塔玛亚历山大藻（Alexandrium tamarense)生长周期内藻体细胞的二甲基硫丙酸（DMSP（）含量以及释放至水体的二甲基硫（DMS）含量，结果表明：（1）塔玛亚历山大藻藻体细胞DMSP含量变化与该藻细胞数量动态变化趋势相一致，在生长周期的第7天最高值；（2）藻体细胞的DMSP含量以及释放至水体的DMS含量均与藻体细胞数量有显著相关；（3）单位细胞DMSP生成量的变化与DMS释放量变化呈现相反的趋势，在DMS释放量最高时，单位细胞DMSP生成量最低。     

Plankton origin of particulate dimethylsulfoniopropionate in a Mediterranean oligotrophic coastal and shallow ecosystem

We report here dimethylsulfide (DMS) and dimethylsulfoniopropionate (DMSP) levels as a function of plankton communities and abiotic factors over a 12-month cycle in the Mediterranean oligotrophic coastal and shallow ecosystem of Niel Bay (N.W. Mediterranean Sea, France). Total particulate DMSP (DMSP_p) and DMS concentrations were highly seasonal, peaking during a spring (April) bloom at 8.9 nM and 73.9 nM, respectively. Significant positive correlations were found between total DMSP_p concentration and the abundance or biomass of the dinoflagellate Prorocentrum compressum (Spearman's rank correlation test: r = 0.704; p = 0.011). Similarly, DMS concentrations peaked during the development of blooms of P. compressum and Gymnodinium sp. There seemed to be a positive relationship between the chlorophyll a to pheopigment ratio and DMS concentrations, suggesting that DMS was released during phytoplankton growth. High DMS levels recorded in the shallow Niel Bay may also result from the activity of benthic macroalgae, and/or macrophytes such as Posidonia spp., or the resuspension of sulfur species accumulating in sediments. The fractionation of particulate DMSP into three size classes (>90 μm, 5–90 μm and 0.2–5 μm) revealed that 5–90 μm DMSP-containing particles made the greatest contribution to the total DMSP_p pool (annual mean contribution = 62%), with a maximal contribution in April (96%). This size class consisted mainly of dinoflagellates (annual mean contribution = 68%), with P. compressum and Gymnodinium sp. the predominant species, together accounting for up to 44% of the phytoplankton present. The positive correlation between DMSP concentration in the 5–90 μm size class and the abundance of P. compressum (Spearman's rank correlation test: r = 0.648; p = 0.023) suggests that this phytoplankton species would be the major DMSP producer in Niel Bay. The DMSP collected in the >90 μm fraction was principally associated with zooplankton organisms, dominated by copepods (nauplii and copepodites). DMSP_>90, not due to a specific zooplankton production, resulted from the phytoplankton cells ingested during grazing. The concomitant peaks of DMS concentration and zooplankton abundance suggest that zooplankton may play a role in releasing DMSP and/or DMS through sloppy feeding.     

The desaturation method of DMSP/OLS nighttime light data based on vector data: taking the rapidly urbanized China as an example

The saturation of night light data caused by sensor defects conceals the differences and details of light luminance in the urban area, which greatly limits the application of Nighttime Light (NTL) in the study of urbanization. Although some methods have been proposed to mitigate the saturation of NTL data, the research of desaturation is worth further advancing due to its shortcomings in highlighting light differences and spatial resolution. Therefore, we propose a new spectral index, the Vector Data Adjusted NTL Index (VDANTLI) after analyzing the influence of different auxiliary parameters on saturation elimination. Then, we select the three most developed urban agglomerations in China and make a series of qualitative and quantitative analysis. The results of various assessments confirm that VDANTLI can effectively alleviate NTL saturation and enhance urban lighting differences. Moreover, by dynamically adjusting the length of the grid and single-phase vector data modified time-series NTL data, we further achieve the resolution-series and time-series VDANTLI. Therefore, compared with previous desaturation models, the VDANTLI can be used as an effective indicator and even an indispensable basic data for urbanization research and socio-economic spatial analysis because of its unique advantages in spatial resolution and the capability in time-series native NTL desaturation.